Structuring Your Data Team: 9 Best Practices - InformationWeek

InformationWeek is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

IoT
IoT
Data Management // Big Data Analytics
News
12/21/2015
08:05 AM
Lisa Morgan
Lisa Morgan
Slideshows
Connect Directly
Twitter
RSS
E-Mail

Structuring Your Data Team: 9 Best Practices

Hire or grow from within? Structuring a data team isn't easy because there's no one way to do it right. Here's a look at some pitfalls and best practices.
2 of 10

Think First 

The race is on to use data more intelligently than your competitors do. As companies scramble to keep up, they often acquire technology and people without a game plan. Doing so can lead to costly mistakes. 
'We strongly believe that the analytics are slave to the master of impact, so [it's important] to have a use-case-based approach: 'This is what I want to do and if I do that, I can generate these results and measure these results. Any technology that enables me to get those results faster or better is something we want to prove.'  
'That's very different from, 'This is cool. Let's play with it for a couple of years and see what we can get,'' said Matt Ariker, COO of McKinsey's consumer marketing analytics center, in an interview.     
People are also hired in the absence of a master plan. 'You need requirements in place that fit the people you're bringing in to make sure you're retaining that talent,' said Craig Shaneck, ETS metro market manager at executive search firm Robert Half, in an interview.     
(Image: obsidianphotography via Pixabay)

Think First

The race is on to use data more intelligently than your competitors do. As companies scramble to keep up, they often acquire technology and people without a game plan. Doing so can lead to costly mistakes.

"We strongly believe that the analytics are slave to the master of impact, so [it's important] to have a use-case-based approach: 'This is what I want to do and if I do that, I can generate these results and measure these results. Any technology that enables me to get those results faster or better is something we want to prove.'

"That's very different from, 'This is cool. Let's play with it for a couple of years and see what we can get,'" said Matt Ariker, COO of McKinsey's consumer marketing analytics center, in an interview.

People are also hired in the absence of a master plan. "You need requirements in place that fit the people you're bringing in to make sure you're retaining that talent," said Craig Shaneck, ETS metro market manager at executive search firm Robert Half, in an interview.

(Image: obsidianphotography via Pixabay)

2 of 10
Comment  | 
Print  | 
Comments
Newest First  |  Oldest First  |  Threaded View
batye
50%
50%
batye,
User Rank: Ninja
1/1/2016 | 11:16:16 PM
interesting way to look at Data
this days in the board rooms I hear we must have better way to analyze data...

each time I learn something new on informationweek - thank you :)
Commentary
Learning: It's a Give and Take Thing
James M. Connolly, Editorial Director, InformationWeek and Network Computing,  1/24/2020
Slideshows
IT Careers: Top 10 US Cities for Tech Jobs
Cynthia Harvey, Freelance Journalist, InformationWeek,  1/14/2020
Commentary
Predictions for Cloud Computing in 2020
James Kobielus, Research Director, Futurum,  1/9/2020
White Papers
Register for InformationWeek Newsletters
Video
Current Issue
The Cloud Gets Ready for the 20's
This IT Trend Report explores how cloud computing is being shaped for the next phase in its maturation. It will help enterprise IT decision makers and business leaders understand some of the key trends reflected emerging cloud concepts and technologies, and in enterprise cloud usage patterns. Get it today!
Slideshows
Flash Poll